BUSINESS DATA / THE BROKER DECISION DESK
AI data brokers: choose, compare, prepare.
Evaluate an AI data broker, compare fee proposals, and qualify buyer interest with practical worksheets for business data owners.
An independent inquiry and referral project for business data owners. We help structure exploratory conversations; we do not publish a verified buyer roster.
Free inquiry. No dataset uploads. No guaranteed buyers or earnings.
What do you need to decide?
- Broker, marketplace, or direct outreach? Compare responsibility for finding prospects, qualification, and delivery.
- Which intermediary can explain a credible next step? Use the interview checklist before agreeing to a mandate.
- What would each fee proposal leave you? Compare the same sale and no-sale scenarios.
- Is a buyer inquiry ready for more work? Record the task, evaluator, and next decision.
How it works
- Describe one bounded dataset and its origin.
- Identify the buyer task, evidence gaps, and questions to resolve.
- Explore a possible introduction when interest and fit are confirmed.
We review descriptions and may follow up. Any introduction, evaluation, or commercial arrangement needs separate discussion. Submitting a form does not license your data.
Prepare your next conversation
How to choose an AI data broker
Compare intermediary roles, buyer-access evidence, conflicts, exclusivity, and reporting before appointing an AI data broker.
Preparation guideData broker fees: compare proposals and net proceeds
Use a two-proposal fee calculator, a no-sale scenario, and a contract checklist to compare data broker commissions, retainers, and preparation costs.
Preparation guideQualify an AI data buyer: discovery worksheet
Use a practical buyer qualification worksheet to record the task, evaluator, budget status, sample boundaries, and next decision before preparing data.
Broker briefsTechnical manuals: prepare a broker-ready dataset brief
Describe manual families, revisions, extraction quality, and source boundaries before asking a broker to qualify a technical-document dataset.
Broker briefsInspection images: prepare a broker-ready dataset brief
Count distinct inspected parts, document defect labels, and explain camera conditions so an intermediary can qualify an inspection-image inquiry.
Broker briefsProduct catalogs: prepare a broker-ready dataset brief
Prepare product and variant counts, field-level provenance, update history, and missingness for an AI data broker’s first review.
Broker briefsVideo archives: prepare a broker-ready dataset brief
Describe distinct recordings, derived clips, transcripts, subject coverage, and review boundaries before a broker pitches an archive.
Broker briefsSupport knowledge bases: prepare a broker-ready brief
Separate approved help articles from customer tickets, document revisions and product coverage, and prepare a bounded knowledge-base brief.
Preparation guideAI data broker vs marketplace vs direct outreach
Compare who finds prospects, qualifies buyers, negotiates scope, and handles delivery across three ways to explore a business dataset sale.
What to send
A high-level description, approximate volume, provenance, and the questions you need to resolve. Keep raw records, confidential samples, and personal information out of the form.
Who runs this?
AIDataBrokerz is an independent project operated by Josh May, who also operates AIDataBuyer. We may receive referral compensation when an introduction leads to a transaction. We are not a direct buyer or a verified marketplace.
Our focus is preparation for business dataset introductions. We do not verify buyer rosters, negotiate or close deals through this website, or accept data uploads.
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